ci_prop_jeffreys {cicalc} | R Documentation |
Jeffreys CI
Description
Calculates the Jeffreys interval, an equal-tailed interval based on the non-informative Jeffreys prior for a binomial proportion.
Usage
ci_prop_jeffreys(x, conf.level = 0.95, data = NULL)
Arguments
x |
( |
conf.level |
( |
data |
( |
Details
\left( \text{Beta}\left(\frac{k}{2} + \frac{1}{2}, \frac{n - k}{2} + \frac{1}{2}\right)_\alpha,
\text{Beta}\left(\frac{k}{2} + \frac{1}{2}, \frac{n - k}{2} + \frac{1}{2}\right)_{1-\alpha} \right)
Value
An object containing the following components:
n |
Number of responses |
N |
Total number |
estimate |
The point estimate of the proportion |
conf.low |
Lower bound of the confidence interval |
conf.high |
Upper bound of the confidence interval |
conf.level |
The confidence level used |
method |
Type of method used |